LandR Biomass Module Overview
Alex M. Chubaty
15/08/2019
LandR Biomass module details
Biomass_regeneration
Required packages
## $Biomass_regeneration
## [1] "SpaDES.core"
## [2] "crayon"
## [3] "data.table"
## [4] "PredictiveEcology/LandR@development"
## [5] "PredictiveEcology/pemisc@development"
## [6] "raster"Parameters
| paramName | paramClass | default | min | max | paramDesc |
|---|---|---|---|---|---|
| calibrate | logical | FALSE | NA | NA | Do calibration? Defaults to FALSE |
| fireInitialTime | numeric | NA | NA | NA | The event time that the first fire disturbance event occurs |
| fireTimestep | numeric | NA | NA | NA | The number of time units between successive fire events in a fire module |
| successionTimestep | numeric | 10 | NA | NA | defines the simulation time step, default is 10 years |
Input objects
| objectName | objectClass | desc | sourceURL |
|---|---|---|---|
| cohortData | data.table | age cohort-biomass table hooked to pixel group map by pixelGroupIndex at | |
| succession time st | ep | NA | |
| inactivePixelIndex | logical | internal use. Keeps track of which pixels are inactive | NA |
| pixelGroupMap | RasterLayer | updated community map at each succession time step | NA |
| rstCurrentBurn | RasterLayer | Binary raster of fires, 1 meaning ‘burned’, 0 or NA is non-burned | NA |
| species | data.table | a table that has species traits such as longevity… | https://raw.githubusercontent.com/LANDIS-II-Foundation/Extensions-Succession/master/biomass-succession-archive/trunk/tests/v6.0-2.0/species.txt |
| speciesEcoregion | data.table | table defining the maxANPP, maxB and SEP, which can change with both ecoregion and simulation time | https://raw.githubusercontent.com/LANDIS-II-Foundation/Extensions-Succession/master/biomass-succession-archive/trunk/tests/v6.0-2.0/biomass-succession-dynamic-inputs_test.txt |
| studyArea | SpatialPolygonsDataFrame | multipolygon to use as the study area, with attribute LTHFC describing the fire return interval. Defaults to a square shapefile in Southwestern Alberta, Canada. | |
| sufficientLight | data.frame | table defining how the species with different shade tolerance respond to stand shadeness | https://raw.githubusercontent.com/LANDIS-II-Foundation/Extensions-Succession/master/biomass-succession-archive/trunk/tests/v6.0-2.0/biomass-succession_test.txt |
| treedFirePixelTableSinceLastDisp | data.table | 3 columns: pixelIndex, pixelGroup, and burnTime. Each row represents a forested pixel that was burned up to and including this year, since last dispersal event, with its corresponding pixelGroup and time it occurred | NA |
Output objects
| objectName | objectClass | desc |
|---|---|---|
| cohortData | data.table | age cohort-biomass table hooked to pixel group map by pixelGroupIndex at succession time step |
| lastFireYear | numeric | Year of the most recent fire year |
| pixelGroupMap | RasterLayer | updated community map at each succession time step |
| serotinyResproutSuccessPixels | numeric | Pixels that were successfully regenerated via serotiny or resprouting. This is a subset of treedBurnLoci |
| postFireRegenSummary | data.table | summary table of species post-fire regeneration |
| treedFirePixelTableSinceLastDisp | data.table | 3 columns: pixelIndex, pixelGroup, and burnTime. Each row represents a forested pixel that was burned up to and including this year, since last dispersal event, with its corresponding pixelGroup and time it occurred |
BiomassSpeciesData
Required packages
## $BiomassSpeciesData
## [1] "SpaDES.core"
## [2] "data.table"
## [3] "gdalUtils"
## [4] "googledrive"
## [5] "magrittr"
## [6] "PredictiveEcology/LandR@development"
## [7] "PredictiveEcology/pemisc@development"
## [8] "pryr"
## [9] "raster"
## [10] "reproducible"
## [11] "SpaDES.tools"Parameters
| paramName | paramClass | default | min | max | paramDesc |
|---|---|---|---|---|---|
| sppEquivCol | character | Boreal | NA | NA | The column in sim$specieEquivalency data.table to use as a naming convention |
| types | character | KNN | NA | NA | The possible data sources. These must correspond to a function named paste0(‘prepSpeciesLayers_’, type) |
| vegLeadingProportion | numeric | 0.8 | 0 | 1 | a number that define whether a species is leading for a given pixel |
| .plotInitialTime | numeric | NA | NA | NA | This describes the simulation time at which the first plot event should occur |
| .plotInterval | numeric | NA | NA | NA | This describes the simulation time interval between plot events |
| .saveInitialTime | numeric | NA | NA | NA | This describes the simulation time at which the first save event should occur |
| .saveInterval | numeric | NA | NA | NA | This describes the simulation time interval between save events |
| .useCache | logical | FALSE | NA | NA | Should this entire module be run with caching activated? This is generally intended for data-type modules, where stochasticity and time are not relevant |
| .useParallel | numeric | 64 | NA | NA | Used in reading csv file with fread. Will be passed to data.table::setDTthreads. |
Input objects
| objectName | objectClass | desc | sourceURL |
|---|---|---|---|
| rasterToMatch | RasterLayer | Raster layer of buffered study area used for cropping, masking and projecting. Defaults to the kNN biomass map masked with studyArea |
http://tree.pfc.forestry.ca/kNN-StructureBiomass.tar |
| sppColorVect | character | A named vector of colors to use for plotting. The names must be in sim\(speciesEquivalency[[sim\)sppEquivCol]], and should also contain a color for ‘Mixed’ | NA |
| sppEquiv | data.table | table of species equivalencies. See LandR::sppEquivalencies_CA. | |
| studyArea | SpatialPolygonsDataFrame | Multipolygon to use as the study area. (studyArea is typically buffered to the actual study area of interest.) Defaults to an area in Southwestern Alberta, Canada. | NA |
| studyAreaReporting | SpatialPolygonsDataFrame | multipolygon (typically smaller/unbuffered than studyArea) to use for plotting/reporting. Defaults to an area in Southwestern Alberta, Canada. | NA |
Output objects
| objectName | objectClass | desc |
|---|---|---|
| speciesLayers | RasterStack | biomass percentage raster layers by species in Canada species map |
| treed | data.table | one logical column for each species, indicating whether there were non-zero values |
| numTreed | numeric | a named vector with number of pixels with non-zero cover values |
| nonZeroCover | numeric | A single value indicating how many pixels have non-zero cover |
Boreal_LBMRDataPrep
Required packages
## $Boreal_LBMRDataPrep
## [1] "SpaDES.core"
## [2] "achubaty/amc@development"
## [3] "crayon"
## [4] "data.table"
## [5] "dplyr"
## [6] "fasterize"
## [7] "gdalUtils"
## [8] "lme4"
## [9] "plyr"
## [10] "PredictiveEcology/LandR@development"
## [11] "PredictiveEcology/pemisc@development"
## [12] "raster"
## [13] "rgeos"
## [14] "sp"Parameters
| paramName | paramClass | default | min | max | paramDesc |
|---|---|---|---|---|---|
| biomassModel | call | lme4::lmer(B ~ logAge * speciesCode + cover * speciesCode + (logAge + cover + speciesCode | ecoregionGroup)) | NA | NA | Model and formula for estimating biomass (B) from ecoregionGroup (currently ecoDistrict * LandCoverClass), speciesCode, logAge (gives a downward curving relationship), and cover. Defaults to a LMEM, which can be slow if dealing with very large datasets (e.g. 36 000 points take 20min). For faster fitting try P(sim)$subsetDataBiomassModel == TRUE, or quote(RcppArmadillo::fastLm(formula = B ~ logAge * speciesCode * ecoregionGroup + cover * speciesCode * ecoregionGroup)). A custom model call can also be provided, as long as the ‘data’ argument is NOT included. |
| coverModel | call | lme4::glmer(cbind(coverPres, coverNum) ~ speciesCode + (1 | ecoregionGroup), family = binomial) | NA | NA | Model and formula used for estimating cover from ecoregion and speciesCode and potentially others. Defaults to a GLMEM if there are > 1 grouping levels. A custom model call can also be provided, as long as the ‘data’ argument is NOT included |
| forestedLCCClasses | numeric | c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 32, 34, 35) | 0 | 39 | The classes in the rstLCC layer that are ‘treed’ and will therefore be run in LBMR. |
| Defau | lts to forest | ed classes in LCC2005 map. | |||
| LCCClassesToReplaceNN | numeric | 34:35 | NA | NA | This will replace these classes on the landscape with the closest forest class P(sim)$forestedLCCClasses. If the user is using the default 2005 data product for rstLCC, then users may wish to include 36 (cities – if running a historic range of variation project), and 34:35 (burns) Since this is about estimating parameters for growth, it doesn’t make any sense to have unique estimates for transient classes in most cases |
| omitNonTreedPixels | logical | TRUE | FALSE | TRUE | Should this module use only treed pixels, as identified by P(sim)$forestedLCCClasses? |
| pixelGroupAgeClass | numeric | params(sim)\(Boreal_LBMRDataPrep\)successionTimestep | NA | NA | When assigning pixelGroup membership, this defines the resolution of ages that will be considered ‘the same pixelGroup’, e.g., if it is 10, then 6 and 14 will be the same |
| pixelGroupBiomassClass | numeric | 100 | NA | NA | When assigning pixelGroup membership, this defines the resolution of biomass that will be considered ‘the same pixelGroup’, e.g., if it is 100, then 5160 and 5240 will be the same |
| runName | character | NA | NA | A description for run. This will form the basis of cache path and output path, and affect dispersal parameterization. | |
| speciesUpdateFunction | list | list(LandR::speciesTableUpdate(sim\(species, sim\)speciesTable, sim\(sppEquiv, P(sim)\)sppEquivCol)) | NA | NA | Unnamed list of quoted functions that updates species table to customize values. Default should always come first. |
| sppEquivCol | character | Boreal | NA | NA | The column in sim$specieEquivalency data.table to use as a naming convention |
| subsetDataAgeModel | numeric | NULL | NA | NA | the number of samples to use when subsampling the biomass data model; if TRUE, uses 50 |
| subsetDataBiomassModel | numeric | NULL | NA | NA | the number of samples to use when subsampling the biomass data model; if TRUE, uses 50 |
| successionTimestep | numeric | 10 | NA | NA | defines the simulation time step, default is 10 years |
| useCloudCacheForStats | logical | TRUE | NA | NA | Some of the statistical models take long (at least 30 minutes, likely longer). If this is TRUE, then it will try to get previous cached runs from googledrive |
| .plotInitialTime | numeric | NA | NA | NA | This describes the simulation time at which the first plot event should occur |
| .plotInterval | numeric | NA | NA | NA | This describes the simulation time interval between plot events |
| .saveInitialTime | numeric | NA | NA | NA | This describes the simulation time at which the first save event should occur |
| .saveInterval | numeric | NA | NA | NA | This describes the simulation time interval between save events |
| .useCache | logical | init | NA | NA | Controls cache; caches the init event by default |
Input objects
| objectName | objectClass | desc | sourceURL |
|---|---|---|---|
| cloudFolderID | character | The google drive location where cloudCache will store large statistical objects | NA |
| columnsForPixelGroups | character | The names of the columns in cohortData that define unique pixelGroups. Default is c(‘ecoregionGroup’, ‘speciesCode’, ‘age’, ‘B’) | NA |
| ecoDistrict | SpatialPolygonsDataFrame | ecodistricts in study area, default is Canada national ecodistricts | http://sis.agr.gc.ca/cansis/nsdb/ecostrat/district/ecodistrict_shp.zip |
| rstLCC | RasterLayer | A land classification map in study area. It must be ‘corrected’, in the sense that: | |
| 1) Every class must not | conflict with any other ma | p in this module | |
| (e.g., speciesLayer | s should not have data in L | CC classes that are non-treed); | |
| 2) It can have treed an | d non-treed classes. The no | n-treed will be removed within this | |
| module if P(sim)$om | itNonTreedPixels is TRUE; | ||
| 3) It can have transien | t pixels, such as ’young fi | re’. These will be converted to a | |
| the nearest non-tra | nsient class, probabilistic | ally if there is more than 1 nearest | |
| neighbour class, ba | sed on P(sim)$LCCClassesToR | eplaceNN. | |
| The default layer used, | if not supplied, is Canada | national land classification in 2005 https://drive.google.com/file/d/1g9jr0VrQxqxGjZ4ckF6ZkSMP-zuYzHQC/view?usp=sharing | |
| rasterToMatch | RasterLayer | DESCRIPTION NEEDED | NA |
| rawBiomassMap | RasterLayer | total biomass raster layer in study area, default is Canada national biomass map | http://tree.pfc.forestry.ca/kNN-StructureBiomass.tar |
| speciesLayers | RasterStack | cover percentage raster layers by species in Canada species map | http://tree.pfc.forestry.ca/kNN-Species.tar |
| speciesTable | data.table | species attributes table, default is from Dominic Cyr and Yan Boulanger’s project | https://raw.githubusercontent.com/dcyr/LANDIS-II_IA_generalUseFiles/master/speciesTraits.csv |
| sppColorVect | character | named character vector of hex colour codes corresponding to each species | |
| sppEquiv | data.table | table of species equivalencies. See LandR::sppEquivalencies_CA. | |
| studyArea | SpatialPolygonsDataFrame | multipolygon to use as the study area, with attribute LTHFC describing the fire return interval. Defaults to a square shapefile in Southwestern Alberta, Canada. | |
| studyAreaLarge | SpatialPolygonsDataFrame | multipolygon (larger area than studyArea) to use for parameter estimation, with attribute LTHFC describing the fire return interval. Defaults to a square shapefile in Southwestern Alberta, Canada. | |
| standAgeMap | RasterLayer | stand age map in study area, default is Canada national stand age map | http://tree.pfc.forestry.ca/kNN-StructureStandVolume.tar |
Output objects
| objectName | objectClass | desc |
|---|---|---|
| biomassMap | RasterLayer | total biomass raster layer in study area, filtered for pixels covered by cohortData |
| cohortData | data.table | initial community table, created from available biomass, age and species cover data, as well as eco zonation information |
| ecoDistrict | ||
| ecoregion | data.table | ecoregion look up table |
| ecoregionMap | RasterLayer | ecoregion map that has mapcodes match ecoregion table and speciesEcoregion table |
| pixelGroupMap | RasterLayer | initial community map that has mapcodes match initial community table |
| minRelativeB | data.frame | define the cut points to classify stand shadeness |
| species | data.table | a table that has species traits such as longevity… |
| speciesEcoregion | data.table | define the maxANPP, maxB and establishprob change with both ecoregion and simulation time |
| studyArea | ||
| sufficientLight | data.frame | define how the species with different shade tolerance respond to stand shadeness |
LBMR
Required packages
## $LBMR
## [1] "SpaDES.core"
## [2] "compiler"
## [3] "data.table"
## [4] "dplyr"
## [5] "fpCompare"
## [6] "ggplot2"
## [7] "grid"
## [8] "PredictiveEcology/LandR@development"
## [9] "PredictiveEcology/pemisc@development"
## [10] "PredictiveEcology/reproducible@development"
## [11] "PredictiveEcology/SpaDES.core@development"
## [12] "PredictiveEcology/SpaDES.tools@development"
## [13] "purrr"
## [14] "quickPlot"
## [15] "raster"
## [16] "Rcpp"
## [17] "scales"
## [18] "sp"
## [19] "tidyr"Parameters
| paramName | paramClass | default | min | max | paramDesc |
|---|---|---|---|---|---|
| calcSummaryBGM | character | end | NA | NA | A character vector describing when to calculate the summary of biomass, growth and mortality Currently any combination of 5 options is possible: ‘start’- as before vegetation succession events, i.e. before dispersal, ‘postDisp’ - after dispersal, ‘postRegen’ - after post-disturbance regeneration (currently the same as ‘start’), ‘postGM’ - after growth and mortality, ‘postAging’ - after aging, ‘end’ - at the end of vegetation succesion events, before plotting and saving. The ‘end’ option is always active, being also the default option. |
| calibrate | logical | FALSE | NA | NA | Do calibration? Defaults to FALSE |
| growthAndMortalityDrivers | character | LandR | NA | NA | package name where the following functions can be found: calculateClimateEffect, assignClimateEffect |
| growthInitialTime | numeric | start(sim) | NA | NA | Initial time for the growth event to occur |
| initialBiomassSource | character | cohortData | NA | NA | Currently, there are three options: ‘spinUp’, ‘cohortData’, ‘biomassMap’. If ‘spinUp’, it will derive biomass by running spinup derived from Landis-II. If ‘cohortData’, it will be taken from the ‘cohortData’ object, i.e., it is already correct, by cohort. If ‘biomassMap’, it will be taken from sim\(biomassMap, divided across species using sim\)speciesLayers percent cover values spinUp uses sim$ageMap as the driver, so biomass is an output. That means it will be unlikely to match any input information about biomass, unless this is set to TRUE, and a `sim$rawBiomassMap`` is supplied. |
| mixedType | numeric | 2 | NA | NA | How to define mixed stands: 1 for any species admixture; 2 for deciduous > conifer. See ?vegTypeMapGenerator. |
| seedingAlgorithm | character | wardDispersal | NA | NA | choose which seeding algorithm will be used among noDispersal, universalDispersal, and wardDispersal (default). |
| spinupMortalityfraction | numeric | 0.001 | NA | NA | defines the mortality loss fraction in spin up-stage simulation |
| sppEquivCol | character | Boreal | NA | NA | The column in sim$specieEquivalency data.table to use as a naming convention |
| successionTimestep | numeric | 10 | NA | NA | defines the simulation time step, default is 10 years. Note that growth and mortality always happen on a yearly basis. |
| vegLeadingProportion | numeric | 0.8 | 0 | 1 | a number that define whether a species is leading for a given pixel |
| .maxMemory | numeric | 5 | NA | NA | maximum amount of memory (in GB) to use for dispersal calculations. |
| .plotInitialTime | numeric | 0 | NA | NA | Vector of length = 1, describing the simulation time at which the first plot event should occur. Set to NA to turn plotting off. |
| .plotInterval | numeric | NA | NA | NA | defines the plotting time step. If NA, the default, .plotInterval is set to successionTimestep. |
| .plotMaps | logical | TRUE | NA | NA | Controls whether maps should be plotted or not |
| .saveInitialTime | numeric | NA | NA | NA | Vector of length = 1, describing the simulation time at which the first save event should occur. Set to NA if no saving is desired. If not NA, then saving will occur at .saveInitialTime with a frequency equal to .saveInterval |
| .saveInterval | numeric | NA | NA | NA | defines the saving time step. If NA, the default, .saveInterval is set to successionTimestep. |
| .useCache | logical | init | NA | NA | Controls cache; caches the init event by default |
| .useParallel | ANY | 2 | NA | NA | Used only in seed dispersal. If numeric, it will be passed to data.table::setDTthreads and should be <= 2; If TRUE, it will be passed to parallel:makeCluster; and if a cluster object, it will be passed to parallel::parClusterApplyB. |
Input objects
| objectName | objectClass | desc | sourceURL |
|---|---|---|---|
| biomassMap | RasterLayer | total biomass raster layer in study area, filtered for pixels covered by cohortData. Only used if P(sim)$initialBiomassSource == ‘biomassMap’ | |
| cohortData | data.table | Columns: B, pixelGroup, speciesCode, Indicating several features about ages and current vegetation of stand | NA |
| ecoregion | data.table | ecoregion look up table | https://raw.githubusercontent.com/LANDIS-II-Foundation/Extensions-Succession/master/biomass-succession-archive/trunk/tests/v6.0-2.0/ecoregions.txt |
| ecoregionMap | RasterLayer | ecoregion map that has mapcodes match ecoregion table and speciesEcoregion table. Defaults to a dummy map matching rasterToMatch with two regions | NA |
| minRelativeB | data.frame | table defining the cut points to classify stand shadeness | NA |
| pixelGroupMap | RasterLayer | initial community map that has mapcodes match initial community table | NA |
| rasterToMatch | RasterLayer | Raster layer of buffered study area used for cropping, masking and projecting. Defaults to the kNN biomass map masked with studyArea |
http://tree.pfc.forestry.ca/kNN-StructureBiomass.tar |
| species | data.table | a table that has species traits such as longevity, shade tolerance, etc. Default is partially based on Dominic Cir and Yan’s project | https://raw.githubusercontent.com/dcyr/LANDIS-II_IA_generalUseFiles/master/speciesTraits.csv |
| speciesEcoregion | data.table | table defining the maxANPP, maxB and SEP, which can change with both ecoregion and simulation time. Defaults to a dummy table based on dummy data os biomass, age, ecoregion and land cover class | NA |
| sppColorVect | character | A named vector of colors to use for plotting. The names must be in sim\(speciesEquivalency[[sim\)sppEquivCol]], and should also contain a color for ‘Mixed’ | NA |
| sppEquiv | data.table | table of species equivalencies. See LandR::sppEquivalencies_CA. | |
| studyArea | SpatialPolygonsDataFrame | multipolygon to use as the study area, with attribute LTHFC describing the fire return interval. Defaults to a square shapefile in Southwestern Alberta, Canada. | |
| studyAreaReporting | SpatialPolygonsDataFrame | multipolygon (typically smaller/unbuffered than studyArea) to use for plotting/reporting. Defaults to an area in Southwestern Alberta, Canada. | NA |
| sufficientLight | data.frame | table defining how the species with different shade tolerance respond to stand shadeness. Default is based on LANDIS-II Biomass Succession v6.2 parameters | https://raw.githubusercontent.com/LANDIS-II-Foundation/Extensions-Succession/master/biomass-succession-archive/trunk/tests/v6.0-2.0/biomass-succession_test.txt |
| treedFirePixelTableSinceLastDisp | data.table | 3 columns: pixelIndex, pixelGroup, and burnTime. Each row represents a forested pixel that was burned up to and including this year, since last dispersal event, with its corresponding pixelGroup and time it occurred |
Output objects
| objectName | objectClass | desc |
|---|---|---|
| activePixelIndex | integer | internal use. Keeps track of which pixels are active |
| activePixelIndexReporting | integer | internal use. Keeps track of which pixels are active in the reporting study area |
| ANPPMap | RasterLayer | ANPP map at each succession time step |
| cohortData | data.table | age cohort-biomass table hooked to pixel group map by pixelGroupIndex at succession time step |
| inactivePixelIndex | logical | internal use. Keeps track of which pixels are inactive |
| inactivePixelIndexReporting | integer | internal use. Keeps track of which pixels are inactive in the reporting study area |
| lastFireYear | numeric | Year of the most recent fire year |
| lastReg | numeric | an internal counter keeping track of when the last regeneration event occurred |
| minRelativeB | data.frame | define the cut points to classify stand shadeness |
| mortalityMap | RasterLayer | Mortality map at each succession time step |
| pixelGroupMap | RasterLayer | updated community map at each succession time step |
| regenerationOutput | data.table | TODO: description needed |
| reproductionMap | RasterLayer | Regeneration map at each succession time step |
| simulatedBiomassMap | RasterLayer | Biomass map at each succession time step |
| simulationOutput | data.table | contains simulation results by ecoregion (main output) |
| simulationTreeOutput | data.table | Summary of several characteristics about the stands, derived from cohortData |
| species | data.table | a table that has species traits such as longevity, shade tolerance, etc. Currently obtained from LANDIS-II Biomass Succession v.6.0-2.0 inputs |
| speciesEcoregion | data.table | define the maxANPP, maxB and SEP change with both ecoregion and simulation time |
| spinupOutput | data.table | Spin-up output |
| summaryBySpecies | data.table | The total species biomass, average age and aNPP across the landscape (used for plotting and reporting). |
| summaryBySpecies1 | data.table | No. pixels of each leading vegetation type (used for plotting and reporting). |
| summaryLandscape | data.table | The averages of total biomass, age and aNPP across the landscape (used for plotting and reporting). |
| treedFirePixelTableSinceLastDisp |
LandR module integration
modules_landr <- c("BiomassSpeciesData", modules3[c(1, 2, 4)])
mySim_landr <- Cache(simInit,
times = times,
params = parameters3,
modules = modules_landr,
outputs = outputs3,
objects = objects3,
paths = paths3,
loadOrder = unlist(modules_landr),
useCloud = FALSE,
cloudFolderID = cloudCacheFolderID,
omitArgs = c("debug", "paths", ".plotInitialTime")
)
png(file.path("docs", "LandR_module_diagram.png"), height = 800, width = 800)
moduleDiagram(mySim_landr)
dev.off()
## currently not working: see https://github.com/rich-iannone/DiagrammeR/issues/207
## workaround is to use Rstudio's manual export ability :S
objectDiagram(mySim_landr, height = 2500, width = 1250) # %>%
# DiagrammeRsvg::export_svg() %>%
# charToRaw() %>%
# rsvg::rsvg() %>%
# png::writePNG(file.path("docs", "LandWeb_object_diagram.png"))
